Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts | Paper Citation Record

Observation 3e32ae30-d3b6-42f3-8172-e379c62cfa73 · outbound

This paper cites write newline.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.222313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5936b078-f0f5-4a30-b5cf-48ee2b83b68a · outbound

This paper cites Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.228581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25f43fb-2f04-4900-96d8-ddec2c6be92c · outbound

This paper cites Synthetic Control Chart Time Series.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Synthetic Control Chart Time Series

Reference 3

Resolution: verified exact; doi, observed 2026-08-08T19:48:11.610638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0e3f619-8d9e-45a9-8d6b-043163ee378d · outbound

This paper cites G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.643478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 73a2e671-bc88-47a5-b5f4-84c79cf760d1 · outbound

This paper cites Invariant Risk Minimization.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Invariant Risk Minimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.244364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24761377-880c-48fe-ade6-e89f95eca9e4 · outbound

This paper cites Robust solutions of optimization problems affected by uncertain probabilities.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Robust solutions of optimization problems affected by uncertain probabilities

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.628885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12d483bc-3057-4174-b923-3e6113c75afb · outbound

This paper cites and Lelarge, M.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts and Lelarge, M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.613712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 19bcc69b-92e5-47a7-8b3a-a31da50107cc · outbound

This paper cites A Foundation Model for the Earth System.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts A Foundation Model for the Earth System

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.261131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b745db-a4cd-4ce0-a814-8fed205f7035 · outbound

This paper cites J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.266128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42818588-9fca-4928-8019-eced2e6df28c · outbound

This paper cites Message Passing Neural PDE Solvers.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Message Passing Neural PDE Solvers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.270764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf5034a-9413-435a-ad1c-8ca2e9a2d8e2 · outbound

This paper cites Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:48:11.910535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 85e083f9-22fd-4ce0-a7d7-6c2458fa6b38 · outbound

This paper cites Multitask learning.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Multitask learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.589097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 055c5c25-609e-4701-8abb-c5f60549138b · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.285440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90c82e28-7c4d-4845-a1d1-580d9cc7a2c2 · outbound

This paper cites Towards understanding the mixture-of-experts layer in deep learning.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Towards understanding the mixture-of-experts layer in deep learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.565863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1faa1fd2-1654-43f6-8bbe-9482bcc75d86 · outbound

This paper cites an unresolved cited work.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.294247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25c52eb-7f67-47bf-95a6-f07acafd31c6 · outbound

This paper cites S., Giampaolo, F., Rozza, G., Raissi, M., and Piccialli, F.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts S., Giampaolo, F., Rozza, G., Raissi, M., and Piccialli, F

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.298859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fecd17f7-9bab-4544-be64-9043ceb6e952 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.303451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ee20297-0737-4d0c-adcd-e5365bff1233 · outbound

This paper cites ODEF ormer: Symbolic regression of dynamical systems with transformers.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts ODEF ormer: Symbolic regression of dynamical systems with transformers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.532417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba29a8b3-eee0-4e98-9ae5-b2c9783b0b15 · outbound

This paper cites and Giltinan, D.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts and Giltinan, D

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.517837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e0a5f070-141b-4622-b126-eba14b2bd013 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.319737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 070feae3-0450-4731-81f6-1d1f83666f46 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Model-agnostic meta-learning for fast adaptation of deep networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.324458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b01a6a-14fd-448a-bc64-7aa96b6116f3 · outbound

This paper cites W., Rezende, D., and Eslami, S.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts W., Rezende, D., and Eslami, S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.483359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9bc1b30d-7f71-4236-8086-ec42ca6360d8 · outbound

This paper cites and Bengio, Y.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts and Bengio, Y

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.469124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8befb46b-dd66-4c4e-9c02-26efa122e7af · outbound

This paper cites Out-of-Domain Generalization in Dynamical Systems Reconstruction.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Out-of-Domain Generalization in Dynamical Systems Reconstruction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.339873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca29e04c-078b-4b49-85e2-bad8159c0ded · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.344892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980c7b3e-fec8-4b4e-812f-aedb049377e2 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.350252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09758990-c82b-4e04-b48a-fa804fb7f2d9 · outbound

This paper cites and Ruthotto, L.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts and Ruthotto, L

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.454323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61c4e76a-d04a-4b10-97d7-838d930a7c7c · outbound

This paper cites Neural networks: a comprehensive foundation.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Neural networks: a comprehensive foundation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.439185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 121e1a94-c352-40bd-aace-8d04fe613942 · outbound

This paper cites Mixture of A Million Experts.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Mixture of A Million Experts

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.364496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf6d2b7-ce09-4cf2-821d-8049f5a39c96 · outbound

This paper cites Poseidon: Efficient Foundation Models for PDEs.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Poseidon: Efficient Foundation Models for PDEs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.369630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994eb294-8ad1-497b-bba2-c745653213f9 · outbound

This paper cites Generalized Teacher Forcing for Learning Chaotic Dynamics.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Generalized Teacher Forcing for Learning Chaotic Dynamics

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.374257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518b43b0-53cf-45b9-9b90-b9a901c6cd7a · outbound

This paper cites Meta-learning in neural networks: A survey.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Meta-learning in neural networks: A survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.379034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cb6ec4-8a17-4620-8c9e-5cc1c9940a0d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts LoRA: Low-Rank Adaptation of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.383441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bf8375-3e39-40f4-989a-f240a3f43e30 · outbound

This paper cites A., Jordan, M.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts A., Jordan, M

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.388095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3272226-7dd0-42ce-ad7d-0b641b6b8e2c · outbound

This paper cites Mixtral of Experts.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Mixtral of Experts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.394124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e5e0ca-9e97-4521-a216-ee924b3255da · outbound

This paper cites an unresolved cited work.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:48:12.402890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 409d94b3-40fd-401f-a291-4266e062ba86 · outbound

This paper cites On Neural Differential Equations.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts On Neural Differential Equations

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.403494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a72f39-d832-4a9e-9747-bd6ea0c15e69 · outbound

This paper cites and Garcia, C.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts and Garcia, C

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.408090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b78941b-520d-4107-804a-7cfca9e89ce4 · outbound

This paper cites Neural controlled differential equations for irregular time series.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Neural controlled differential equations for irregular time series

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.378668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db91343b-7509-4ecc-bcfe-9939c8b53066 · outbound

This paper cites Generalizing to new physical systems via context-informed dynamics model.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Generalizing to new physical systems via context-informed dynamics model

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.364375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5bd8d05-259e-417e-8f6a-4952937ba6e5 · outbound

This paper cites o wer, M., Lottes, J., Rasp, S., D \.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts o wer, M., Lottes, J., Rasp, S., D \

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.349089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 711033c7-2123-4743-af0c-5fa0b0ddf089 · outbound

This paper cites K., Benet, J.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts K., Benet, J

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.334020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffdfaf05-9e96-4943-9977-c362b4ec0d27 · outbound

This paper cites Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.431430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a2a2ef-2dbb-4b25-a32a-f7a60b6452cb · outbound

This paper cites Out-of-distribution generalization via risk extrapolation (rex).

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Out-of-distribution generalization via risk extrapolation (rex)

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.436154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83a7796-c625-4187-9fc3-480135d24900 · outbound

This paper cites Alternating minimizations converge to second-order optimal solutions.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Alternating minimizations converge to second-order optimal solutions

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.309391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db0f1289-7396-413a-b19c-04e97c9d76be · outbound

This paper cites Mixture-of-transformers: A sparse and scalable architecture for multi-modal foundation models.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Mixture-of-transformers: A sparse and scalable architecture for multi-modal foundation models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.294247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 68fd34d1-43c0-4552-8347-721148129e77 · outbound

This paper cites Flow Matching for Generative Modeling.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Flow Matching for Generative Modeling

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.450266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82f22eec-8b09-4358-ac5b-3381202d8e3e · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.278840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 905b4d19-f44b-47c6-9eef-545b2f9dc1b0 · outbound

This paper cites Least squares quantization in pcm.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Least squares quantization in pcm

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.459388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9c5c73-faa4-4a0d-ab60-65f2a4edec3a · outbound

This paper cites ClimaX: A foundation model for weather and climate.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts ClimaX: A foundation model for weather and climate

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.464153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429ee06d-c626-4a81-afc2-058b9dff23e1 · outbound

This paper cites D., Barton, D.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts D., Barton, D

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.253810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c9939d7b-4f52-434f-879e-899305792c18 · outbound

This paper cites Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:48:11.691191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d79f1cd5-9dd2-4b98-ad69-1dc197696dc8 · outbound

This paper cites D., Barton, D.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts D., Barton, D

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.239573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 509e67b2-1eb0-4698-b997-1309151aaa2c · outbound

This paper cites and Chan, A.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts and Chan, A

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.225067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9d659bd-687e-46ec-84d3-a664065330a6 · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Universal Differential Equations for Scientific Machine Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.487416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68d0fc11-2a40-40a5-b668-2f6df5d150a6 · outbound

This paper cites Searching for Activation Functions.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Searching for Activation Functions

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.491925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b83e2571-e19a-48f6-857b-253018a62fbb · outbound

This paper cites Efficient amortised bayesian inference for hierarchical and nonlinear dynamical systems.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Efficient amortised bayesian inference for hierarchical and nonlinear dynamical systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.209839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf4ba866-c248-49ea-a7e0-e0ffa7b663b6 · outbound

This paper cites W., Hashimoto, T.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts W., Hashimoto, T

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.194007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e36b42d7-0e1f-4903-a812-5c6f89890fea · outbound

This paper cites Zebra: In-Context Generative Pretraining for Solving Parametric PDEs.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.505739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab11535-10b0-40b6-89dc-1ea4f6fa0be3 · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Outrageously large neural networks: The sparsely-gated mixture-of-experts layer

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.179508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02d4347a-0bc9-4bdd-8891-a45a8fa9c2df · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.514894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88645601-42f1-41b6-9165-39537d7b2e02 · outbound

This paper cites P., Gentine, P., Bandai, T., Gupta, H., Tartakovsky, A., Baity-Jesi, M., Fenicia, F., Kifer, D., Li, L., et al.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts P., Gentine, P., Bandai, T., Gupta, H., Tartakovsky, A., Baity-Jesi, M., Fenicia, F., Kifer, D., Li, L., et al

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.163163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c5485bd-cb29-47bf-b1be-4150ddf751b7 · outbound

This paper cites Differentiable clustering with perturbed spanning forests.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Differentiable clustering with perturbed spanning forests

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.147064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2330552a-3092-4b47-82a5-f910f7781363 · outbound

This paper cites an unresolved cited work.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:48:12.129797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c222053-cbec-4c66-9f5c-c9585c0aab41 · outbound

This paper cites W., and Gholami, A.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts W., and Gholami, A

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.114806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b789390-9c3d-403a-9148-e51884ec5625 · outbound

This paper cites Learning neural pde solvers with parameter-guided channel attention.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Learning neural pde solvers with parameter-guided channel attention

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.098126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 046d5a52-1823-4def-b63a-7ab533b1680b · outbound

This paper cites Bridging multi-task learning and meta-learning: Towards efficient training and effective adaptation.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Bridging multi-task learning and meta-learning: Towards efficient training and effective adaptation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.082884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ed7c434-4c81-4a68-91a6-d74f94bcb9b8 · outbound

This paper cites Meta-learning dynamics forecasting using task inference.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Meta-learning dynamics forecasting using task inference

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.066207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc5d8023-ba73-4f6d-976d-9fff9fccb73b · outbound

This paper cites A proposal on machine learning via dynamical systems.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts A proposal on machine learning via dynamical systems

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T19:48:11.552296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3e9c1d-7ae0-4fb7-a348-258ae8945f2c · outbound

This paper cites Leads: Learning dynamical systems that generalize across environments.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Leads: Learning dynamical systems that generalize across environments

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.037965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e655414b-70f4-4fe0-941d-e8e3f2149426 · outbound

This paper cites Self-supervised contrastive pre-training for time series via time-frequency consistency.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Self-supervised contrastive pre-training for time series via time-frequency consistency

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.022221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22733b02-3708-4ddf-b9d5-78b4560121c8 · outbound

This paper cites C., Dvornek, N., Papademetris, X., and Duncan, J.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts C., Dvornek, N., Papademetris, X., and Duncan, J

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:12.005977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f645055c-e18e-4469-acc8-177df022ca1c · outbound

This paper cites Fast context adaptation via meta-learning.

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts Fast context adaptation via meta-learning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:48:11.990193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers